• DocumentCode
    2177506
  • Title

    Compression of color information in digitized images using an artificial neural network

  • Author

    Boggess, Julian Eugene, III ; Nation, Peter Boyd ; Harmon, Mance Edward

  • Author_Institution
    Dept. of Comput. Sci., Mississippi State Univ., MS, USA
  • fYear
    1994
  • fDate
    23-27 May 1994
  • Firstpage
    772
  • Abstract
    Digitized color images can convey a considerable amount of information, but they also may require a lot of space for storage. To save space, color images may be compressed. A number of different algorithms have been used to compress color images, but some of them lose significant information in the compression process. An artificial neural network technique, the Kohonen Map, is able to able to compress color images with little or no loss of significant color information
  • Keywords
    data compression; image coding; self-organising feature maps; Kohonen Map; artificial neural network; color images compression; color information; digitized images; Aerospace electronics; Artificial neural networks; Color; Computer science; Data compression; Displays; Electron guns; Image coding; Image storage; Intelligent networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    0-7803-1893-5
  • Type

    conf

  • DOI
    10.1109/NAECON.1994.332961
  • Filename
    332961